A variational perspective over an extremal entropy inequality

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a novel variational approach for proving the extremal entropy inequality (EEI) [1]. Unlike previous proofs [1], [2], the proposed variational approach is simpler and it does not require neither the classical entropy power inequality (EPI) [1], [2] nor the channel enhancement technique [1]. The proposed approach is versatile and can be easily adapted to numerous other applications such as proving or extending other fundamental information theoretic inequalities such as the EPI, worst additive noise lemma, and Cramér-Rao inequality.

Original languageEnglish
Title of host publication2013 IEEE International Symposium on Information Theory, ISIT 2013
Pages604-608
Number of pages5
DOIs
Publication statusPublished - 2013
Event2013 IEEE International Symposium on Information Theory, ISIT 2013 - Istanbul, Turkey
Duration: 7 Jul 201312 Jul 2013

Other

Other2013 IEEE International Symposium on Information Theory, ISIT 2013
CountryTurkey
CityIstanbul
Period7/7/1312/7/13

    Fingerprint

ASJC Scopus subject areas

  • Applied Mathematics
  • Modelling and Simulation
  • Theoretical Computer Science
  • Information Systems

Cite this

Park, S., Serpedin, E., & Qaraqe, M. (2013). A variational perspective over an extremal entropy inequality. In 2013 IEEE International Symposium on Information Theory, ISIT 2013 (pp. 604-608). [6620297] https://doi.org/10.1109/ISIT.2013.6620297